Sökning: "Mathematics and Statistics"
Visar resultat 1 - 5 av 1284 uppsatser innehållade orden Mathematics and Statistics.
1. Weather Factors and E. coli Concentration in Barnviken, Malmö - A Linear Mixed Model Approach
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : Barnviken in Malmö has persistently encountered challenges associated with elevated concentrations of Escherichia coli (E. coli) without a discernible source of contamination. LÄS MER
2. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. LÄS MER
3. Using NeRF- and Mesh-Based Methods to Improve Visualisation of Point Clouds
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : In recent years, the field of generating synthetic images from novel view points has seen some major improvements. Most importantly with the publication of Neural Radiance Fields allowing for extremely detailed and accurate 3D novel views. LÄS MER
4. A temporal Hawkes process model for shooting occurrences in Sweden
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : The Hawkes process, also referred to as a self-exciting point process, is a class of point processes where the intensity is conditioned on previous events. More specifically, an event occurrence excites the process, temporarily increasing the probability of more events occurring. LÄS MER
5. Exploring the Impact of Pseudo and Quasi Random Number Generators on Monte Carlo Integration of the Multivariate Normal Distribution
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : This thesis examines the effects of pseudo and quasi-random number generators on the accuracy and efficiency of Monte Carlo Integration in the case of the multivariate normal distribution. The study compares the performance of the Mersenne Twister (a pseudo-random number generator) with Sobol and Halton sequences (quasi-random number generators). LÄS MER